As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

The goal of the team’s study was to demonstrate the potential for deep-learning architecture to support early and reliable identification of cystic hygroma from first trimester ultrasound scans.

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

Qilian Liang, professor of electrical engineering, will design deep-learning hardware accelerators through devices, circuits and algorithms to create deep generative AI models with simpler design ...

Curious about deep learning AI? Here’s your guide on deep learning, how it works and how it is deeply associated with the artificial intelligence world.

Recent years have seen some major advances in unsupervised learning and self-supervised learning, mainly in transformer models, the deep learning architecture used in large language models.

In the field of AI, the rise of OpenAI is not a coincidence but the result of careful planning and systematic evolution. Its development can be traced back to before 2015, when the emergence of deep ...

However, the background of OpenAI's birth is far more complex than a mere technological breakthrough. At that time, the fierce competition between Google and Meta for AI talent led to profound ...

AI architecture for deepfakes An academic study by Goodfellow et al. in 2014 reinvigorated the interest in deepfakes through a new deep learning architecture called Generative Adversarial Networks ...

A research team led by Prof. Jiang Ni from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences (CAS) proposed a cost-effective method for in-field acquisition ...